matplotlib-users Mailing List for matplotlib

Choose it as a backend. See here:
http://matplotlib.org/faq/usage_faq.html#what-is-a-backend
Then when you call "plt.show()", it will fire up the webserver and 
launch a browser window.
Mike
On 08/01/2013 03:03 PM, K.-Michael Aye wrote:
>
> Very nice, congrats!
>
>
> I was looking for some example to setup webagg but can't seem to find 
> any? Is there anything written down about it?
>
>
> Cheers,
>
> Michael
>
>
>
>
>
> On 2013年08月01日 18:06:35 +0000, Michael Droettboom said:
>
>
> On behalf of a veritable army of super coders, I'm pleased to announce 
> the release of matplotlib 1.3.0.
>
>
> Downloads
>
> Downloads are available here:
>
> http://matplotlib.org/downloads.html
>
> as well as through pip. Check with your distro for when matplotlib 
> 1.3.0 will become packaged for your environment.
>
> (Note: Mac .dmg installers are still forthcoming due to some issues 
> with the new installation approach.)
>
>
> Important known issues
>
> matplotlib no longer ships with its Python dependencies, including 
> dateutil, pytz, pyparsing and six. When installing from source or pip, 
> pip will install these for you automatically. When installing from 
> packages (on Linux distributions, MacPorts, homebrew etc.) these 
> dependencies should also be handled automatically. The Windows binary 
> installers do not include or install these dependencies.
>
> You may need to remove any old matplotlib installations before 
> installing 1.3.0 to ensure matplotlib has access to the latest 
> versions of these dependencies.
>
> The following backends have been removed: QtAgg (Qt version 3.x only), 
> FlktAgg and Emf.
>
> For a complete list of removed features, see 
> http://matplotlib.org/api/api_changes.html#changes-in-1-3
>
>
> What's new
>
> * xkcd-style sketch plotting
> * webagg backend for displaying and interacting with plots in a web
> browser
> * event plots
> * triangular grid interpolation
> * control of baselines in stackplot
> * many improvements to text and color handling
>
> For a complete list of what's new, see
>
> http://matplotlib.org/users/whats_new.html#new-in-matplotlib-1-3
>
> Have fun, and enjoy matplotlib!
>
> Michael Droettboom
>
> _______________________________________________
>
> NumPy-Discussion mailing list
>
> Num...@sc...
>
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
>
>
>
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Very nice, congrats!
I was looking for some example to setup webagg but can't seem to find 
any? Is there anything written down about it?
Cheers,
Michael
On 2013年08月01日 18:06:35 +0000, Michael Droettboom said:
> On behalf of a veritable army of super coders, I'm pleased to announce 
> the release of matplotlib 1.3.0.
> Downloads
> Downloads are available here:
> http://matplotlib.org/downloads.html
> as well as through pip. Check with your distro for when matplotlib 
> 1.3.0 will become packaged for your environment.
> (Note: Mac .dmg installers are still forthcoming due to some issues 
> with the new installation approach.)
> Important known issues
> matplotlib no longer ships with its Python dependencies, including 
> dateutil, pytz, pyparsing and six. When installing from source or pip, 
> pip will install these for you automatically. When installing from 
> packages (on Linux distributions, MacPorts, homebrew etc.) these 
> dependencies should also be handled automatically. The Windows binary 
> installers do not include or install these dependencies.
> You may need to remove any old matplotlib installations before 
> installing 1.3.0 to ensure matplotlib has access to the latest versions 
> of these dependencies.
> The following backends have been removed: QtAgg (Qt version 3.x only), 
> FlktAgg and Emf.
> For a complete list of removed features, see 
> http://matplotlib.org/api/api_changes.html#changes-in-1-3
> What's new
>>>> 	•	xkcd-style sketch plotting
>>>> 	•	webagg backend for displaying and interacting with plots in a web browser
>>>> 	•	event plots
>>>> 	•	triangular grid interpolation
>>>> 	•	control of baselines in stackplot
>>>> 	•	many improvements to text and color handling
> For a complete list of what's new, see
> http://matplotlib.org/users/whats_new.html#new-in-matplotlib-1-3
> Have fun, and enjoy matplotlib!
> Michael Droettboom
> _______________________________________________
> NumPy-Discussion mailing list
> Num...@sc...
> http://mail.scipy.org/mailman/listinfo/numpy-discussion

(Apologies for cross-posting).
matplotlib has a dire need to improve its continuous integration 
testing. I've drafted MEP19 and solicited comments, but there hasn't 
been a lot of feedback thus far.
As an alternative to mailing list discussion, where this sort of upfront 
planning can sometimes be difficult, I'm considering holding a Google 
Hangout in the next few weeks on the subject. It's ok to participate 
even if you don't have the time to work on matplotlib -- I would also 
like feedback from advice from those that have configured similar 
systems for other projects. matplotlib's needs are somewhat more 
complex in terms of dependencies, cpu, ram and storage, so we're pushing 
things pretty far here.
If there's enough people with an interest in participating in the 
discussion, I'll send around a Doodle poll to find a good time.
Mike

On behalf of a veritable army of super coders, I'm pleased to announce 
the release of matplotlib 1.3.0.
 Downloads
Downloads are available here:
<http://matplotlib.org/downloads.html>http://matplotlib.org/downloads.html
as well as through |pip|. Check with your distro for when matplotlib 
1.3.0 will become packaged for your environment.
(Note: Mac .dmg installers are still forthcoming due to some issues with 
the new installation approach.)
 Important known issues
matplotlib no longer ships with its Python dependencies, including 
dateutil, pytz, pyparsing and six. When installing from source or |pip|, 
|pip| will install these for you automatically. When installing from 
packages (on Linux distributions, MacPorts, homebrew etc.) these 
dependencies should also be handled automatically. The Windows binary 
installers do not include or install these dependencies.
You may need to remove any old matplotlib installations before 
installing 1.3.0 to ensure matplotlib has access to the latest versions 
of these dependencies.
The following backends have been removed: QtAgg (Qt version 3.x only), 
FlktAgg and Emf.
For a complete list of removed features, see 
<http://matplotlib.org/api/api_changes.html#changes-in-1-3>http://matplotlib.org/api/api_changes.html#changes-in-1-3
 What's new
 * xkcd-style sketch plotting
 * webagg backend for displaying and interacting with plots in a web
 browser
 * event plots
 * triangular grid interpolation
 * control of baselines in stackplot
 * many improvements to text and color handling
For a complete list of what's new, see
<http://matplotlib.org/users/whats_new.html#new-in-matplotlib-1-3>http://matplotlib.org/users/whats_new.html#new-in-matplotlib-1-3
Have fun, and enjoy matplotlib!
Michael Droettboom

For anyone attending the AGU (American Geophysical Union) fall meeting this
year, there will be a session on python and "big data" in the earth
sciences. Abstract submission is still open until Aug. 6th. See below for
more info.
Cheers,
-Joe
---------- Forwarded message ----------
From: IRIS Webmaster <web...@ir...>
Date: Thu, Aug 1, 2013 at 11:18 AM
Subject: [iris-bulk] Python Session at AGU 2013
To: bul...@ir...
Forwarded on behalf of:
Lion Krischer
LMU Munich
kri...@ge...
Dear members of the IRIS community,
with the deadline for abstract submission to the AGU Fall Meeting 2013
approaching fast, I wanted to point out a session revolving around the
Python programming language.
If you will be attending the meeting and are using Python for your research
or workflows, please consider submitting an abstract to the IN-034 session
until *next week Tuesday, August 6th*.
https://fallmeeting.agu.org/2013/scientific-program/session-search/sessions/in034-ultra-scale-earth-systems-analyses-using-python/
It aims to promote the use of Python in the earth-science community.
All the best,
Lion Krischer and Thomas Lecocq